Genomic structural variations (SVs) encompass a diverse array of alterations involving large segments of the genome, such as deletions, duplications, inversions, translocations, and insertions. Many of these variations are most extreme in cancer cells where wholesale rearrangements such as chromothripsis can make genomic characterization via sequencing impossible1. These variations play a pivotal role in the initiation, progression, and heterogeneity of various cancers. Identifying the mechanism of how the rearrangements occur can often help to pinpoint the factors that underlie the cancer. Understanding and accurately characterizing SVs is crucial for comprehensive cancer research and patient care. High-performance electronic genome mapping provides a comprehensive view of genomic architecture, allowing precise identification of SVs, including complex and cryptic rearrangements, facilitating precise diagnosis, prognosis, and tailored therapeutic strategies.